OCR PDF to Text

OCR scanned PDF to plain text — extraction fallback.

Use Cases

Typical scenarios for OCR PDF to Text — see if it fits before you start

For everyday ocr tasks, OCR PDF to Text is tuned for speed and fidelity to meet submission and printing needs.

Students and researchers ocr lecture scans and papers in batches with OCR PDF to Text, saving manual work.

For sensitive resumes and contracts, OCR PDF to Text runs 100% locally — no upload, data cleared when you close the tab.

Upload — Click or drag PDF/images to the dashed zone. Multi-file and large files (<100MB per batch recommended) are read locally only.
Configure & process — Set pages, angle, password or quality, then hit “Calculate / Process”. OCR PDF to Text runs via WebAssembly and pdf-lib in your browser — no server queue.
Preview & download — Check pages, size and thumbnails on the right, then download. Batch jobs download one by one; tweak and re-run if needed.

Page syntax: Use 1,3,5-7 or 1-10,15; empty means all. Out-of-range pages are ignored.
Privacy & size: Everything runs locally — no server upload. For large files, process in batches of 50–100 pages.
Fidelity: Fonts and vectors are preserved where possible. For scanned PDFs, run OCR/searchable PDF first, then convert.

Will files be uploaded? Is OCR PDF to Text safe?

No. OCR PDF to Text runs 100% in your browser via File API; no network upload, memory cleared when you close the tab.

Processing failed or download blocked?

Check page ranges, passwords and file integrity. If the browser blocks multiple downloads, allow “automatic downloads” or click links one by one.

How to chain with other ocr tools?

Combine workflows: organize pages first, then compress/convert for submission, then protect/sign for delivery.

Upload file, process, download.

Todos los cálculos se realizan localmente en tu navegador; no se sube ningún dato.